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Duration 14 hours
Course Outline
Introduction
Stata and Big Data
- Overview of Stata.
- Stata syntax and commands.
Setting Up the Environment
- Installing and configuring Stata.
Datasets and Data
- Opening and cleaning datasets.
- Compressing datasets.
- Importing and exporting datasets.
- Viewing, describing, and summarizing raw data.
- Using tabulations and tables.
- Performing distributional analysis.
- Implementing variables for data manipulation.
- Saving data.
- Working with commands.
Data Visualization in Stata
- Creating plots, charts, and graphs.
- Applying distributional analysis in graphs.
- Styling and combining graphs.
Statistical Analysis and Regression
- Performing bivariate correlation and regression.
- Working with OLS regression, logits, and probits.
- Incorporating interactive effects in regression models.
Summary and Conclusion
Requirements
- Basic knowledge of data science concepts.
Audience
- Data Analysts
Testimonials (1)
Data management, reporting and statistics concepts.
